Extracellular volume fraction can predict the treatment response and survival outcome of colorectal cancer liver metastases

医学 结直肠癌 危险系数 置信区间 比例危险模型 肿瘤科 内科学 癌症 优势比 贝伐单抗 化疗
作者
Shenglin Li,Xinmei Yang,Ting Lu,Long Yuan,Yuting Zhang,Jun Zhao,Juan Deng,Caiqiang Xue,Qiu Sun,Xianwang Liu,Wenjuan Zhang,Junlin Zhou
出处
期刊:European Journal of Radiology [Elsevier]
卷期号:175: 111444-111444 被引量:2
标识
DOI:10.1016/j.ejrad.2024.111444
摘要

Objective To assess the prognostic value of pre- and post-therapeutic changes in extracellular volume (ECV) fraction of liver metastases (LMs) for treatment response (TR) and survival outcomes in colorectal cancer liver metastases (CRLM). Methods 186 LMs were confirmed by pathology or follow-up (Training: 130; Test: 56). We analyzed the changes in ECV fraction of LMs before and after 2 cycles of chemotherapy combined with bevacizumab. After 12 cycles, we evaluated the TR on LMs based on the RECIST v1.1. Relative changes in ECV fraction and Hounsfield Units (HU), defined as ΔECV and ΔHU, were associated with progression-free survival (PFS), overall survival (OS), and TR. We identified TR predictors with multivariate logistic regression and PFS, OS risk factors with COX analysis. Results 186 LMs were classified as TR lesions (TR+: 84) and non-TR lesions (TR-:102). ΔECV, ΔHUA-E, and texture could distinguish the TR of LMs in training and test set (P < 0.05). ΔECV [Odds ratio (OR): 1.03; 95% Confidence interval (CI): 1.02–1.05, P < 0.01] was an independent predictor of TR-. Area under the curve (AUC), sensitivity and specificity of TR model in training and test set were 0.87, 0.84, 90.14%, 90.32%, 72.88%, 64.00%, respectively. High CRD_score indicates that patients have shorter PFS [Hazard ratio (HR): 2.01; 95%CI: 1.02–3.98, P = 0.045)] and OS (HR: 1.89, 95%CI: 1.04–3.42, P = 0.038). Conclusion ΔECV can be used as an independent predictor of TR of CRLM chemotherapy combined with bevacizumab.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
Fiona发布了新的文献求助10
1秒前
我做饭应助子咸采纳,获得30
2秒前
2秒前
2秒前
2秒前
欣欣欣欣完成签到,获得积分10
2秒前
阿崔完成签到,获得积分10
3秒前
lulu发布了新的文献求助10
3秒前
嘎嘎嘎完成签到,获得积分10
3秒前
科目三应助若天采纳,获得10
5秒前
kkk完成签到,获得积分10
5秒前
科研通AI6.1应助Yy采纳,获得10
5秒前
李想型发布了新的文献求助10
5秒前
小二郎应助郝颖洁采纳,获得10
5秒前
泡泡发布了新的文献求助10
5秒前
大个应助haifeng采纳,获得10
6秒前
七七完成签到,获得积分20
6秒前
嘎嘎嘎发布了新的文献求助10
6秒前
6秒前
8秒前
8秒前
开心的秋天完成签到 ,获得积分10
9秒前
CipherSage应助爱听歌笑寒采纳,获得10
9秒前
10秒前
11秒前
是啊余啊完成签到,获得积分10
11秒前
大方擎宇发布了新的文献求助10
12秒前
CipherSage应助夏沐采纳,获得10
12秒前
流云完成签到,获得积分10
12秒前
光亮的巧荷完成签到,获得积分10
12秒前
无语的沛春完成签到,获得积分10
13秒前
11发布了新的文献求助10
14秒前
王伟轩应助TaiLongYang采纳,获得10
14秒前
逢场作戱__完成签到 ,获得积分10
14秒前
Akim应助美满冰之采纳,获得10
15秒前
15秒前
张雅琪完成签到,获得积分10
16秒前
17秒前
xiaoqi发布了新的文献求助20
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6023778
求助须知:如何正确求助?哪些是违规求助? 7652648
关于积分的说明 16174014
捐赠科研通 5172223
什么是DOI,文献DOI怎么找? 2767425
邀请新用户注册赠送积分活动 1750883
关于科研通互助平台的介绍 1637321